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Machine learning models identify novel histologic features ..:
Pokkalla, Harsha
;
Pethia, Kishalve
;
Taylor, Amaro
...
Journal of Hepatology. 73 (2020) - p. S402 , 2020
Link:
https://doi.org/10.1016/s0168-8278(20)31289-7
RT Journal T1
Machine learning models identify novel histologic features predictive of clinical disease progression in patients with advanced fibrosis due to non-alcoholic steatohepatitis
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_s0168-8278(20)31289-7&Exemplar=1&LAN=DE A1 Pokkalla, Harsha A1 Pethia, Kishalve A1 Taylor, Amaro A1 Glass, Benjamin A1 Elliott, Hunter A1 Han, Ling A1 Jia, Catherine A1 Huss, Ryan A1 Chung, Chuhan A1 Subramanian, Mani A1 Myers, Robert A1 Harrison, Stephen A1 Goodman, Zachary A1 Resnick, Murray A1 Khosla, Aditya A1 Beck, Andrew A1 Wapinski, Ilan A1 Sanyal, Arun A1 Younossi, Zobair PB Elsevier BV YR 2020 SN 0168-8278 JF Journal of Hepatology VO 73 SP S402 LK http://dx.doi.org/https://doi.org/10.1016/s0168-8278(20)31289-7 DO https://doi.org/10.1016/s0168-8278(20)31289-7 SF ELIB - SuUB Bremen
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